Example_autocleanΒΆ
[4]:
import datacleanbot.dataclean as dc
import openml as oml
import numpy as np
[5]:
# acquire data
data = oml.datasets.get_dataset(51)
X, y, categorical_indicator, features = data.get_data(target=data.default_target_attribute, dataset_format='array')
Xy = np.concatenate((X,y.reshape((y.shape[0],1))), axis=1)
[6]:
# input openml dataset id
Xy = dc.autoclean(Xy, data.name, features)
Important Features
Statistical Information
0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
count | 294.000000 | 3.0 | 294.000000 | 271.000000 | 293.000000 | 286.000000 | 294.000000 | 293.000000 | 294.000000 | 104.000000 | 28.000000 | 293.000000 | 293.000000 | 294.000000 |
mean | 47.826531 | 0.0 | 1.867347 | 250.848708 | 0.303754 | 0.930070 | 0.586054 | 1.156997 | 0.724490 | 1.105769 | 1.035714 | 139.129693 | 132.583618 | 0.360544 |
std | 7.811812 | 0.0 | 0.956077 | 67.657711 | 0.460665 | 0.255476 | 0.908648 | 0.417011 | 0.447533 | 0.338995 | 0.881167 | 23.589749 | 17.626568 | 0.480977 |
min | 28.000000 | 0.0 | 0.000000 | 85.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 82.000000 | 92.000000 | 0.000000 |
25% | 42.000000 | 0.0 | 1.000000 | 209.000000 | 0.000000 | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 1.000000 | 0.000000 | 122.000000 | 120.000000 | 0.000000 |
50% | 49.000000 | 0.0 | 2.000000 | 243.000000 | 0.000000 | 1.000000 | 0.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 140.000000 | 130.000000 | 0.000000 |
75% | 54.000000 | 0.0 | 3.000000 | 282.500000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 2.000000 | 155.000000 | 140.000000 | 1.000000 |
max | 66.000000 | 0.0 | 3.000000 | 603.000000 | 1.000000 | 1.000000 | 5.000000 | 2.000000 | 1.000000 | 2.000000 | 2.000000 | 190.000000 | 200.000000 | 1.000000 |
Discover Data Types
Simple Data Types
['int64', 'int64', 'int64', 'int64', 'int64', 'int64', 'int64', 'int64', 'bool', 'float64', 'float64', 'int64', 'int64', 'bool']
Statistical Data Types
['Type.POSITIVE', 'Type.CATEGORICAL', 'Type.CATEGORICAL', 'Type.POSITIVE', 'Type.COUNT', 'Type.CATEGORICAL', 'Type.POSITIVE', 'Type.COUNT', 'Type.COUNT', 'Type.CATEGORICAL', 'Type.CATEGORICAL', 'Type.POSITIVE', 'Type.POSITIVE', 'Type.CATEGORICAL']
Duplicated Rows
Identifying Duplicated Rows ...
0 1 2 3 4 5 6 7 8 9 10 11 12 13
101 49.0 NaN 3.0 NaN 0.0 1.0 0.0 1.0 0.0 NaN NaN 160.0 110.0 0.0
102 49.0 NaN 3.0 NaN 0.0 1.0 0.0 1.0 0.0 NaN NaN 160.0 110.0 0.0
Do you want to drop the duplicated rows? [y/n]y
Duplicated rows are dropped.
Inconsitent Column Names
Column names
============
['age', 'sex', 'chest_pain', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach', 'exang', 'oldpeak', 'slope', 'ca', 'thal']
Column names are consistent
Missing values
Identify Missing Data ...
The default setting of missing characters is ['n/a', 'na', '--', '?']
Do you want to add extra character? [y/n]n
Number of missing in each feature
0 0
1 290
2 0
3 22
4 1
5 8
6 0
7 1
8 0
9 189
10 265
11 1
12 1
13 0
dtype: int64
Records containing missing values:
0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 28.0 | NaN | 3.0 | 132.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | NaN | NaN | 185.0 | 130.0 | 0.0 |
1 | 29.0 | NaN | 3.0 | 243.0 | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | NaN | NaN | 160.0 | 120.0 | 0.0 |
2 | 29.0 | NaN | 3.0 | NaN | 0.0 | 1.0 | 0.0 | 1.0 | 1.0 | NaN | NaN | 170.0 | 140.0 | 0.0 |
3 | 30.0 | NaN | 0.0 | 237.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | NaN | 0.0 | 170.0 | 170.0 | 0.0 |
4 | 31.0 | NaN | 3.0 | 219.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | NaN | NaN | 150.0 | 100.0 | 0.0 |
Missing correlation between features containing missing values and other features
1 | 3 | 4 | 5 | 7 | 9 | 10 | 11 | 12 | |
---|---|---|---|---|---|---|---|---|---|
0 | -0.054393 | 0.019737 | 0.001330 | -0.014961 | 0.053771 | -0.234171 | 0.001532 | 0.001330 | 0.001330 |
1 | 1.000000 | -0.099671 | 0.005952 | 0.017041 | 0.005952 | -0.004595 | 0.082259 | 0.005952 | 0.005952 |
2 | 0.020988 | 0.067940 | 0.069733 | 0.023981 | -0.114337 | 0.342524 | 0.075190 | 0.069733 | 0.069733 |
3 | -0.099671 | 1.000000 | -0.016674 | -0.047736 | -0.016674 | 0.076025 | 0.048563 | -0.016674 | -0.016674 |
4 | 0.005952 | -0.016674 | 1.000000 | -0.009805 | -0.003425 | -0.078890 | 0.019022 | 1.000000 | 1.000000 |
5 | 0.017041 | -0.047736 | -0.009805 | 1.000000 | -0.009805 | -0.007021 | -0.088011 | -0.009805 | -0.009805 |
6 | 0.009863 | -0.077552 | 0.091000 | -0.039312 | -0.037900 | -0.841642 | 0.005952 | 0.091000 | 0.091000 |
7 | 0.005952 | -0.016674 | -0.003425 | -0.009805 | 1.000000 | 0.043410 | 0.019022 | -0.003425 | -0.003425 |
8 | -0.062333 | 0.000198 | -0.095489 | -0.085351 | 0.035864 | -0.038358 | -0.016808 | -0.095489 | -0.095489 |
9 | -0.004595 | 0.076025 | -0.078890 | -0.007021 | 0.043410 | 1.000000 | 0.025752 | -0.078890 | -0.078890 |
10 | 0.082259 | 0.048563 | 0.019022 | -0.088011 | 0.019022 | 0.025752 | 1.000000 | 0.019022 | 0.019022 |
11 | 0.005952 | -0.016674 | 1.000000 | -0.009805 | -0.003425 | -0.078890 | 0.019022 | 1.000000 | 1.000000 |
12 | 0.005952 | -0.016674 | 1.000000 | -0.009805 | -0.003425 | -0.078890 | 0.019022 | 1.000000 | 1.000000 |
Visualize Missing Data ...
Clean Missing Data ...
Feature [1, 10] has extreme large proportion of missing data
Do you want to delete the above features? [y/n]y
Choose the missing mechanism [a/b/c/d]:
a.MCAR b.MAR c.MNAR d.Skip
b
Imputation score of knn is 0.7567397233586597
Imputation score of matrix factorization is 0.7567397233586597
Imputation score of multiple imputation is 0.8122681667640756
Imputation method with the highest socre is multiple imputation
The recommended approach is multiple imputation
Do you want to apply the recommended approach? [y/n]y
Applying multiple imputation ...
Missing values cleaned!
Outliers
Recommend Algorithm ...
The recommended approach is isolation forest.
Do you want to apply the recommended outlier detection approach? [y/n]y
Visualize Outliers ...
0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | anomaly_score | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
232 | 48 | 1 | 275 | 1 | 0 | 2 | 2 | 1 | 0 | 150 | 122 | 1 | -0.119937 |
254 | 46 | 0 | 272 | 0 | 0 | 2 | 1 | 1 | 1 | 175 | 140 | 1 | -0.0797964 |
275 | 59 | 1 | 264 | 1 | 0 | 0 | 0 | 1 | 0.944132 | 119 | 140 | 1 | -0.0689509 |
90 | 48 | 3 | 308 | 0.141883 | 1 | 2 | 2 | 0 | 2 | 147.257 | 139.446 | 0 | -0.068584 |
220 | 59 | 1 | 338 | 1 | 0 | 1.5 | 2 | 0 | 1 | 130 | 130 | 1 | -0.0657597 |
291 | 58 | 3 | 393 | 1 | 1 | 1 | 1 | 0 | 1 | 110 | 180 | 1 | -0.0580726 |
248 | 58 | 2 | 211 | 0 | 0 | 0 | 2 | 1 | 1.15535 | 92 | 160 | 1 | -0.0565477 |
3 | 30 | 0 | 237 | 0 | 1 | 0 | 2 | 0 | 1.32164 | 170 | 170 | 0 | -0.0521636 |
117 | 51 | 2 | 220 | 1 | 1 | 2 | 1 | 0 | 2 | 160 | 130 | 0 | -0.0464553 |
223 | 65 | 1 | 306 | 1 | 0 | 1.5 | 1 | 1 | 1 | 87 | 140 | 1 | -0.0440714 |
94 | 48 | 1 | 163 | 0 | 1 | 2 | 1 | 0 | 2 | 175 | 108 | 0 | -0.0405723 |
268 | 55 | 3 | 292 | 1 | 0 | 2 | 1 | 1 | 1 | 143 | 160 | 1 | -0.0397377 |
171 | 57 | 1 | 347 | 1 | 1 | 0.8 | 2 | 0 | 1 | 126 | 180 | 0 | -0.0360816 |
242 | 54 | 1 | 603 | 1 | 0 | 1 | 1 | 1 | 1 | 125 | 130 | 1 | -0.0355075 |
146 | 54 | 0 | 171 | 0 | 1 | 2 | 1 | 1 | 2 | 137 | 120 | 0 | -0.0348489 |
276 | 65 | 1 | 263 | 1 | 0 | 2 | 1 | 1 | 1 | 112 | 170 | 1 | -0.0329883 |
273 | 58 | 3 | 164 | 1 | 1 | 2 | 2 | 1 | 1 | 99 | 136 | 1 | -0.0309242 |
12 | 35 | 0 | 160 | 0 | 1 | 0 | 2 | 0 | 1.31709 | 185 | 120 | 0 | -0.0297764 |
154 | 54 | 1 | 365 | 0 | 1 | 1 | 2 | 1 | 2 | 134 | 150 | 0 | -0.0297346 |
157 | 55 | 3 | 394 | 0 | 1 | 0 | 0 | 0 | 1.43866 | 150 | 130 | 0 | -0.0280174 |
289 | 54 | 2 | 294 | 1 | 1 | 0 | 2 | 0 | 1 | 100 | 130 | 1 | -0.026562 |
0 | 28 | 3 | 132 | 0 | 1 | 0 | 0 | 1 | 1.42619 | 185 | 130 | 0 | -0.0263437 |
31 | 39 | 3 | 224.323 | 0 | 1 | 2 | 2 | 1 | 2 | 146 | 120 | 0 | -0.0256593 |
263 | 52 | 1 | 246 | 1 | 1 | 4 | 2 | 1 | 1 | 82 | 160 | 1 | -0.0254428 |
185 | 62 | 0 | 193 | 0 | 1 | 0 | 1 | 0 | 1.36576 | 116 | 160 | 0 | -0.0246483 |
170 | 57 | 0 | 308 | 0 | 1 | 1 | 1 | 0 | 1 | 98 | 130 | 0 | -0.0235655 |
227 | 40 | 1 | 392 | 0 | 1 | 2 | 1 | 0 | 1 | 130 | 150 | 1 | -0.0210837 |
290 | 56 | 1 | 342 | 1 | 0 | 3 | 1 | 1 | 1 | 150 | 155 | 1 | -0.0182647 |
130 | 53 | 3 | 468 | 0 | 0.864092 | 0 | 1 | 0 | 1.37019 | 127 | 113 | 0 | -0.0181947 |
91 | 48 | 3 | 256.72 | 0 | 0 | 0 | 2 | 0 | 1.3819 | 148 | 120 | 0 | -0.0151125 |
285 | 50 | 1 | 231 | 1 | 1 | 5 | 2 | 1 | 1 | 140 | 140 | 1 | -0.0115976 |
183 | 61 | 1 | 294 | 1 | 1 | 1 | 2 | 0 | 1 | 120 | 130 | 0 | -0.0100509 |
255 | 47 | 2 | 248 | 0 | 0 | 0 | 1 | 0 | 1.16329 | 170 | 135 | 1 | -0.00722342 |
37 | 39 | 2 | 147 | 0 | 0 | 0 | 1 | 1 | 1.36338 | 160 | 160 | 0 | -0.00674078 |
89 | 47 | 1 | 276 | 1 | 0 | 0 | 1 | 1 | 1.11308 | 125 | 140 | 0 | -0.00241484 |
195 | 38 | 1 | 117 | 1 | 1 | 2.5 | 1 | 1 | 1 | 134 | 92 | 1 | -0.00238595 |
168 | 56 | 2 | 276 | 1 | 1 | 1 | 1 | 1 | 2 | 128 | 130 | 0 | -0.00109016 |
150 | 54 | 3 | 195 | 0 | 1 | 1 | 2 | 1 | 2 | 130 | 160 | 0 | -0.000929664 |
205 | 48 | 1 | 263 | 0 | 0 | 0 | 1 | 1 | 1.00107 | 110 | 106 | 1 | 0.00114704 |
250 | 41 | 1 | 172 | 0 | 1 | 2 | 2 | 1 | 1 | 130 | 130 | 1 | 0.00212158 |
196 | 40 | 1 | 466 | 1 | 0.86451 | 1 | 1 | 1 | 1 | 152 | 120 | 1 | 0.00309686 |
188 | 33 | 1 | 246 | 1 | 1 | 1 | 1 | 0 | 1 | 150 | 100 | 1 | 0.00348012 |
118 | 51 | 2 | 200 | 0 | 1 | 0.5 | 1 | 0 | 2 | 120 | 150 | 0 | 0.0043416 |
131 | 53 | 3 | 216 | 1 | 1 | 2 | 1 | 0 | 1 | 142 | 140 | 0 | 0.00484593 |
224 | 32 | 1 | 529 | 0 | 1 | 0 | 1 | 1 | 0.99009 | 130 | 118 | 1 | 0.00797082 |
282 | 47 | 1 | 291 | 1 | 1 | 3 | 2 | 1 | 1 | 158 | 160 | 1 | 0.010827 |
246 | 56 | 1 | 213 | 1 | 0 | 1 | 1 | 1 | 1 | 125 | 150 | 1 | 0.011012 |
74 | 45 | 3 | 224 | 0 | 0 | 0 | 1 | 1 | 1.35054 | 122 | 140 | 0 | 0.0124018 |
281 | 47 | 1 | 205 | 1 | 1 | 2 | 1 | 0 | 1 | 98 | 120 | 1 | 0.013517 |
140 | 54 | 3 | 230 | 0 | 0 | 0 | 1 | 0 | 1.38866 | 140 | 120 | 0 | 0.013915 |
252 | 44 | 3 | 288 | 1 | 1 | 3 | 1 | 1 | 1 | 150 | 150 | 1 | 0.0143166 |
59 | 43 | 0 | 223 | 0 | 1 | 0 | 1 | 0 | 1.24638 | 142 | 100 | 0 | 0.0148435 |
228 | 43 | 0 | 291 | 0 | 1 | 0 | 2 | 1 | 1.07937 | 155 | 120 | 1 | 0.0149449 |
84 | 46 | 1 | 280 | 0 | 1 | 0 | 2 | 1 | 1.36972 | 120 | 180 | 0 | 0.0158468 |
22 | 37 | 1 | 173 | 0 | 1 | 0 | 2 | 0 | 1.38258 | 184 | 130 | 0 | 0.0158852 |
14 | 35 | 3 | 308 | 0 | 1 | 0 | 0 | 1 | 1.39788 | 180 | 120 | 0 | 0.0173538 |
4 | 31 | 3 | 219 | 0 | 1 | 0 | 2 | 0 | 1.3727 | 150 | 100 | 0 | 0.0187209 |
272 | 56 | 1 | 388 | 1 | 1 | 2 | 2 | 1 | 1 | 122 | 170 | 1 | 0.0187329 |
184 | 61 | 1 | 292 | 1 | 1 | 0 | 2 | 1 | 1.21704 | 115 | 125 | 0 | 0.0191592 |
218 | 57 | 3 | 265 | 1 | 1 | 1 | 2 | 1 | 1 | 145 | 140 | 1 | 0.0224086 |
186 | 62 | 3 | 271 | 0 | 1 | 1 | 1 | 1 | 2 | 152 | 140 | 0 | 0.0224566 |
265 | 53 | 1 | 285 | 1 | 1 | 1.5 | 2 | 1 | 1 | 120 | 180 | 1 | 0.0235483 |
158 | 55 | 3 | 256 | 0 | 0 | 0 | 1 | 1 | 1.37734 | 137 | 120 | 0 | 0.0238808 |
35 | 39 | 3 | 241 | 0 | 1 | 0 | 1 | 1 | 1.43285 | 106 | 190 | 0 | 0.0244046 |
172 | 57 | 3 | 260 | 0 | 0 | 0 | 1 | 1 | 1.41142 | 140 | 140 | 0 | 0.0244428 |
17 | 36 | 2 | 340 | 0 | 1 | 1 | 1 | 1 | 1 | 184 | 112 | 0 | 0.0256382 |
260 | 52 | 1 | 342 | 1 | 1 | 1 | 2 | 1 | 1 | 96 | 112 | 1 | 0.0256705 |
213 | 51 | 1 | 303 | 1 | 1 | 1 | 1 | 0 | 1 | 150 | 160 | 1 | 0.0263497 |
191 | 36 | 3 | 267 | 0 | 1 | 3 | 1 | 1 | 1 | 160 | 120 | 1 | 0.0272168 |
244 | 54 | 1 | 198 | 1 | 1 | 2 | 1 | 1 | 1 | 142 | 200 | 1 | 0.0278133 |
165 | 56 | 2 | 219 | 0 | 0.904268 | 0 | 2 | 0 | 1.46569 | 164 | 130 | 0 | 0.0278579 |
112 | 50 | 3 | 209 | 0 | 1 | 0 | 2 | 1 | 1.48383 | 116 | 170 | 0 | 0.0279521 |
109 | 50 | 1 | 328 | 1 | 1 | 1 | 1 | 0 | 1 | 110 | 120 | 0 | 0.0285039 |
125 | 52 | 1 | 180 | 1 | 1 | 1.5 | 1 | 0 | 1 | 140 | 130 | 0 | 0.0286704 |
143 | 54 | 3 | 309 | 0 | 0.889135 | 0 | 2 | 0 | 1.47009 | 140 | 140 | 0 | 0.0291233 |
23 | 37 | 3 | 283 | 0 | 1 | 0 | 2 | 1 | 1.34845 | 98 | 130 | 0 | 0.0291719 |
127 | 52 | 3 | 100 | 1 | 1 | 0 | 1 | 1 | 1.356 | 138 | 140 | 0 | 0.0303691 |
85 | 47 | 3 | 257 | 0 | 1 | 1 | 1 | 0 | 2 | 135 | 140 | 0 | 0.030758 |
72 | 45 | 3 | 244.979 | 0 | 1 | 0 | 1 | 0 | 1.53949 | 180 | 180 | 0 | 0.0310886 |
67 | 44 | 1 | 218 | 0 | 1 | 0 | 2 | 0 | 1.30464 | 115 | 120 | 0 | 0.0312676 |
141 | 54 | 3 | 273 | 0 | 1 | 1.5 | 1 | 0 | 1 | 150 | 120 | 0 | 0.0313078 |
95 | 48 | 1 | 254 | 0 | 1 | 0 | 2 | 0 | 1.30643 | 110 | 120 | 0 | 0.0314005 |
155 | 55 | 3 | 344 | 0 | 1 | 0 | 2 | 0 | 1.46327 | 160 | 110 | 0 | 0.0316206 |
189 | 34 | 0 | 156 | 0 | 1 | 0 | 1 | 1 | 1.1145 | 180 | 140 | 1 | 0.0317022 |
256 | 48 | 1 | 214 | 1 | 1 | 1.5 | 1 | 0 | 1 | 108 | 138 | 1 | 0.0319747 |
264 | 53 | 2 | 518 | 0 | 1 | 0 | 1 | 1 | 1.15593 | 130 | 145 | 1 | 0.0321085 |
288 | 52 | 1 | 331 | 1 | 1 | 2.5 | 1 | 1 | 0.96057 | 94 | 160 | 1 | 0.0322196 |
30 | 39 | 2 | 182 | 0 | 1 | 0 | 2 | 0 | 1.41003 | 180 | 110 | 0 | 0.0322735 |
211 | 50 | 2 | 288 | 1 | 1 | 0 | 1 | 0 | 1.06802 | 140 | 140 | 1 | 0.0325019 |
292 | 65 | 1 | 275 | 1 | 1 | 1 | 2 | 1 | 1 | 115 | 130 | 1 | 0.032828 |
136 | 53 | 1 | 260 | 1 | 1 | 3 | 2 | 1 | 1 | 112 | 124 | 0 | 0.0339107 |
247 | 57 | 1 | 255 | 1 | 1 | 3 | 1 | 1 | 1 | 92 | 150 | 1 | 0.0339626 |
139 | 54 | 3 | 221 | 0 | 1 | 1 | 1 | 0 | 2 | 138 | 120 | 0 | 0.0344146 |
32 | 39 | 3 | 200 | 1 | 1 | 1 | 1 | 1 | 1 | 160 | 120 | 0 | 0.0366313 |
177 | 59 | 3 | 188 | 0 | 1 | 1 | 1 | 0 | 1 | 124 | 130 | 0 | 0.0368223 |
86 | 47 | 2 | 241.057 | 0 | 1 | 2 | 1 | 0 | 1 | 145 | 130 | 0 | 0.0369351 |
208 | 49 | 2 | 180 | 0 | 1 | 1 | 1 | 0 | 1 | 156 | 160 | 1 | 0.0377091 |
78 | 46 | 1 | 238 | 0 | 1 | 0 | 1 | 0 | 1.2769 | 90 | 130 | 0 | 0.0380135 |
278 | 41 | 1 | 336 | 1 | 1 | 3 | 1 | 1 | 1 | 118 | 120 | 1 | 0.0391171 |
180 | 59 | 2 | 213 | 0 | 1 | 0 | 1 | 1 | 1.44776 | 100 | 180 | 0 | 0.0392088 |
182 | 60 | 2 | 246 | 0 | 1 | 0 | 0 | 1 | 1.40395 | 135 | 120 | 0 | 0.0408451 |
79 | 46 | 3 | 275 | 1 | 1 | 0 | 1 | 1 | 1.32789 | 165 | 140 | 0 | 0.0412702 |
233 | 48 | 1 | 193 | 1 | 1 | 3 | 1 | 1 | 1 | 102 | 160 | 1 | 0.04237 |
96 | 48 | 1 | 227 | 1 | 1 | 1 | 1 | 0 | 1 | 130 | 150 | 0 | 0.0457815 |
286 | 50 | 1 | 341 | 1 | 1 | 2.5 | 2 | 1 | 1 | 125 | 140 | 1 | 0.0464844 |
277 | 66 | 1 | 276.836 | 1 | 1 | 1 | 1 | 1 | 1 | 94 | 140 | 1 | 0.0468952 |
267 | 55 | 0 | 295 | 0 | 1 | 0 | 1.11432 | 1 | 1.1145 | 136 | 140 | 1 | 0.0469683 |
61 | 43 | 3 | 215 | 0 | 1 | 0 | 2 | 0 | 1.47417 | 175 | 120 | 0 | 0.0490634 |
9 | 34 | 3 | 161 | 0 | 1 | 0 | 1 | 0 | 1.46804 | 190 | 130 | 0 | 0.0499133 |
234 | 48 | 1 | 329 | 1 | 1 | 1.5 | 1 | 1 | 1 | 92 | 160 | 1 | 0.049914 |
10 | 34 | 3 | 214 | 0 | 1 | 0 | 2 | 1 | 1.46008 | 168 | 150 | 0 | 0.050185 |
82 | 46 | 1 | 238 | 1 | 1 | 1 | 2 | 1 | 1 | 140 | 110 | 0 | 0.0513488 |
270 | 56 | 3 | 279 | 0 | 1 | 1 | 1 | 0 | 1 | 150 | 120 | 1 | 0.0514012 |
221 | 60 | 1 | 248 | 0 | 1 | 1 | 1 | 1 | 1 | 125 | 100 | 1 | 0.0528763 |
280 | 44 | 1 | 491 | 0 | 1 | 0 | 1 | 1 | 1.07103 | 135 | 135 | 1 | 0.0529694 |
235 | 48 | 1 | 355 | 1 | 1 | 2 | 1 | 1 | 1 | 99 | 160 | 1 | 0.0532494 |
271 | 56 | 1 | 230 | 1 | 1 | 1.5 | 2 | 1 | 1 | 124 | 150 | 1 | 0.053556 |
162 | 55 | 2 | 220 | 0 | 1 | 0 | 0 | 1 | 1.38884 | 134 | 120 | 0 | 0.0541677 |
62 | 43 | 3 | 249 | 0 | 1 | 0 | 2 | 0 | 1.46809 | 176 | 120 | 0 | 0.0545522 |
103 | 49 | 2 | 207 | 0 | 1 | 0 | 2 | 0 | 1.41247 | 135 | 130 | 0 | 0.0554622 |
229 | 45 | 1 | 219 | 1 | 1 | 1 | 2 | 1 | 1 | 130 | 130 | 1 | 0.057132 |
52 | 42 | 2 | 211 | 0 | 1 | 0 | 2 | 0 | 1.36915 | 137 | 115 | 0 | 0.05732 |
45 | 41 | 3 | 250 | 0 | 1 | 0 | 2 | 0 | 1.40704 | 142 | 110 | 0 | 0.0591437 |
106 | 49 | 1 | 297 | 0 | 0.93087 | 1 | 1 | 1 | 1 | 132 | 120 | 0 | 0.0593337 |
70 | 44 | 1 | 412 | 0 | 1 | 0 | 1 | 1 | 1.34646 | 170 | 150 | 0 | 0.0608182 |
187 | 31 | 1 | 270 | 1 | 1 | 1.5 | 1 | 1 | 1 | 153 | 120 | 1 | 0.0609306 |
284 | 49 | 1 | 222 | 0 | 1 | 2 | 1 | 1 | 1 | 122 | 150 | 1 | 0.0609557 |
142 | 54 | 3 | 253 | 0 | 1 | 0 | 2 | 0 | 1.49633 | 155 | 130 | 0 | 0.0612764 |
266 | 54 | 1 | 216 | 0 | 1 | 1.5 | 1 | 1 | 1 | 105 | 140 | 1 | 0.0616474 |
145 | 54 | 3 | 312 | 0 | 1 | 0 | 1 | 0 | 1.47594 | 130 | 160 | 0 | 0.0620174 |
115 | 51 | 3 | 194 | 0 | 1 | 0 | 1 | 0 | 1.53814 | 170 | 160 | 0 | 0.0643856 |
219 | 58 | 2 | 213 | 0 | 1 | 0 | 2 | 1 | 1.24797 | 140 | 130 | 1 | 0.0646421 |
259 | 51 | 2 | 160 | 0 | 1 | 2 | 1 | 1 | 1 | 150 | 135 | 1 | 0.0650465 |
56 | 42 | 2 | 228 | 1 | 1 | 1.5 | 1 | 1 | 1 | 152 | 120 | 0 | 0.0666529 |
217 | 55 | 1 | 201 | 1 | 1 | 3 | 1 | 1 | 1 | 130 | 140 | 1 | 0.0689589 |
151 | 54 | 3 | 305 | 0 | 1 | 0 | 1 | 1 | 1.5261 | 175 | 160 | 0 | 0.0689688 |
13 | 35 | 1 | 167 | 0 | 1 | 0 | 1 | 0 | 1.33391 | 150 | 140 | 0 | 0.0695931 |
97 | 48 | 3 | 240.484 | 0 | 1 | 0 | 1 | 1 | 1.35496 | 100 | 100 | 0 | 0.0698431 |
179 | 59 | 2 | 318 | 1 | 1 | 1 | 1 | 1 | 1 | 120 | 130 | 0 | 0.0702111 |
240 | 54 | 2 | 237 | 1 | 1 | 1.5 | 1 | 1 | 1.06656 | 150 | 120 | 1 | 0.070729 |
241 | 54 | 1 | 242 | 1 | 1 | 1 | 1 | 1 | 1 | 91 | 130 | 1 | 0.0725249 |
129 | 52 | 2 | 259 | 0 | 1 | 0 | 2 | 1 | 1.46127 | 170 | 140 | 0 | 0.0725429 |
198 | 41 | 1 | 237 | 1 | 0.939522 | 1 | 1 | 1 | 1 | 138 | 120 | 1 | 0.0725942 |
283 | 49 | 1 | 212 | 1 | 1 | 0 | 1 | 1 | 0.956925 | 96 | 128 | 1 | 0.0733429 |
48 | 41 | 3 | 291 | 0 | 1 | 0 | 2 | 1 | 1.42586 | 160 | 120 | 0 | 0.073357 |
206 | 48 | 1 | 260 | 0 | 1 | 2 | 1 | 1 | 1 | 115 | 120 | 1 | 0.0735847 |
251 | 43 | 1 | 175 | 1 | 1 | 1 | 1 | 1 | 1 | 120 | 120 | 1 | 0.0736604 |
216 | 54 | 1 | 224 | 0 | 1 | 2 | 1 | 1 | 1 | 122 | 125 | 1 | 0.0743512 |
27 | 38 | 3 | 275 | 0 | 1.00804 | 0 | 1 | 0 | 1.37389 | 129 | 120 | 0 | 0.0744339 |
83 | 46 | 1 | 240 | 0 | 1 | 0 | 2 | 1 | 1.32033 | 140 | 110 | 0 | 0.0748799 |
253 | 44 | 1 | 290 | 1 | 1 | 2 | 1 | 1 | 1 | 100 | 130 | 1 | 0.0750852 |
65 | 43 | 2 | 240.056 | 0 | 1 | 0 | 1 | 0 | 1.44147 | 175 | 150 | 0 | 0.0752259 |
5 | 32 | 3 | 198 | 0 | 1 | 0 | 1 | 0 | 1.39257 | 165 | 105 | 0 | 0.0754935 |
64 | 43 | 3 | 186 | 0 | 1 | 0 | 1 | 0 | 1.47751 | 154 | 150 | 0 | 0.0760975 |
116 | 51 | 2 | 190 | 0 | 1 | 0 | 1 | 0 | 1.36956 | 120 | 110 | 0 | 0.0768654 |
68 | 44 | 3 | 184 | 0 | 1 | 1 | 1 | 1 | 1 | 142 | 120 | 0 | 0.077039 |
269 | 55 | 1 | 248 | 1 | 1 | 2 | 1 | 1 | 1 | 96 | 145 | 1 | 0.0784453 |
222 | 63 | 1 | 223 | 0 | 1 | 0 | 1 | 1 | 1.19586 | 115 | 150 | 1 | 0.0786586 |
144 | 54 | 3 | 230 | 0 | 1 | 0 | 1 | 0 | 1.48177 | 130 | 150 | 0 | 0.0788217 |
204 | 47 | 1 | 226 | 1 | 1 | 1.5 | 1 | 1 | 1 | 98 | 150 | 1 | 0.078888 |
262 | 52 | 1 | 404 | 1 | 1 | 2 | 1 | 1 | 1 | 124 | 140 | 1 | 0.0790452 |
46 | 41 | 3 | 184 | 0 | 1 | 0 | 1 | 0 | 1.47235 | 180 | 125 | 0 | 0.0791359 |
73 | 45 | 1 | 297 | 0 | 1 | 0 | 1 | 0 | 1.32829 | 144 | 132 | 0 | 0.0798444 |
238 | 52 | 1 | 273.523 | 1 | 1 | 1.5 | 1 | 1 | 1 | 126 | 170 | 1 | 0.0799551 |
58 | 42 | 1 | 358 | 0 | 1 | 0 | 1 | 1 | 1.3385 | 170 | 140 | 0 | 0.0804819 |
114 | 50 | 1 | 215 | 1 | 1 | 0 | 1 | 1 | 1.23782 | 140 | 150 | 0 | 0.0805382 |
192 | 37 | 1 | 207 | 1 | 1 | 1.5 | 1 | 1 | 1 | 130 | 140 | 1 | 0.0807155 |
169 | 56 | 1 | 85 | 0 | 1 | 0 | 1 | 1 | 1.39164 | 140 | 120 | 0 | 0.0808652 |
203 | 47 | 2 | 193 | 1 | 1 | 1 | 1 | 1 | 1 | 145 | 140 | 1 | 0.0824245 |
207 | 48 | 1 | 268 | 1 | 1 | 1 | 1 | 1 | 1 | 103 | 160 | 1 | 0.0824746 |
8 | 33 | 2 | 298 | 0 | 1 | 0 | 1 | 1 | 1.36098 | 185 | 120 | 0 | 0.0830886 |
6 | 32 | 3 | 225 | 0 | 1 | 0 | 1 | 1 | 1.40973 | 184 | 110 | 0 | 0.0831834 |
156 | 55 | 3 | 320 | 0 | 1 | 0 | 1 | 0 | 1.46382 | 155 | 122 | 0 | 0.0851178 |
87 | 47 | 0 | 249 | 0 | 1 | 0 | 1 | 1 | 1.27185 | 150 | 110 | 0 | 0.0854966 |
63 | 43 | 3 | 266 | 0 | 1 | 0 | 1 | 0 | 1.38138 | 118 | 120 | 0 | 0.0855935 |
11 | 34 | 3 | 220 | 0 | 1 | 0 | 1 | 1 | 1.3632 | 150 | 98 | 0 | 0.0861795 |
199 | 43 | 1 | 247 | 1 | 1 | 2 | 1 | 1 | 1 | 130 | 150 | 1 | 0.0869482 |
230 | 46 | 1 | 231 | 1 | 1 | 0 | 1 | 1 | 0.954839 | 115 | 120 | 1 | 0.0870761 |
200 | 46 | 1 | 202 | 1 | 1 | 0 | 1 | 1 | 0.991815 | 150 | 110 | 1 | 0.0879442 |
132 | 53 | 2 | 274 | 0 | 1 | 0 | 1 | 0 | 1.38323 | 130 | 120 | 0 | 0.0884486 |
93 | 48 | 2 | 195 | 0 | 1 | 0 | 1 | 0 | 1.37463 | 125 | 120 | 0 | 0.0886647 |
81 | 46 | 2 | 163 | 0 | 0.995578 | 0 | 1 | 1 | 1.39172 | 116 | 150 | 0 | 0.0887371 |
88 | 47 | 3 | 263 | 0 | 1 | 0 | 1 | 1 | 1.50662 | 174 | 160 | 0 | 0.0891336 |
225 | 38 | 1 | 258.901 | 1 | 1 | 1 | 1 | 1 | 1 | 150 | 110 | 1 | 0.0905199 |
166 | 56 | 3 | 184 | 0 | 1 | 0 | 1 | 1 | 1.43349 | 100 | 130 | 0 | 0.090794 |
16 | 36 | 3 | 166 | 0 | 1 | 0 | 1 | 1 | 1.44486 | 180 | 120 | 0 | 0.0917647 |
104 | 49 | 3 | 253 | 0 | 1 | 0 | 1 | 1 | 1.44605 | 174 | 100 | 0 | 0.0918137 |
128 | 52 | 3 | 196 | 0 | 1 | 0 | 1 | 1 | 1.52954 | 165 | 160 | 0 | 0.0920144 |
239 | 53 | 1 | 246 | 1 | 1 | 0 | 1 | 1 | 0.980103 | 116 | 120 | 1 | 0.0920738 |
124 | 52 | 2 | 272 | 0 | 1 | 0 | 1 | 0 | 1.39657 | 139 | 125 | 0 | 0.0924291 |
249 | 58 | 1 | 263 | 1 | 1 | 2 | 1 | 1 | 1 | 140 | 130 | 1 | 0.0925944 |
164 | 55 | 1 | 229 | 1 | 1 | 0.5 | 1 | 1 | 1 | 110 | 140 | 0 | 0.0933395 |
92 | 48 | 3 | 284 | 0 | 1 | 0 | 1 | 0 | 1.39942 | 120 | 120 | 0 | 0.0933896 |
176 | 58 | 1 | 222 | 0 | 1 | 0 | 1 | 1 | 1.3391 | 100 | 135 | 0 | 0.0943583 |
279 | 43 | 1 | 288 | 1 | 1 | 2 | 1 | 1 | 1 | 135 | 140 | 1 | 0.0953903 |
19 | 36 | 2 | 160 | 0 | 1 | 0 | 1 | 1 | 1.42173 | 172 | 150 | 0 | 0.0962968 |
121 | 51 | 1 | 179 | 0 | 1 | 0 | 1 | 1 | 1.31518 | 100 | 130 | 0 | 0.0964982 |
160 | 55 | 3 | 326 | 0 | 1 | 0 | 1 | 1 | 1.48357 | 155 | 145 | 0 | 0.0965331 |
20 | 37 | 3 | 260 | 0 | 1 | 0 | 1 | 0 | 1.37387 | 130 | 120 | 0 | 0.0966762 |
174 | 58 | 3 | 251 | 0 | 1 | 0 | 1 | 1 | 1.43906 | 110 | 130 | 0 | 0.0969323 |
243 | 54 | 1 | 274.224 | 1 | 1 | 0 | 1 | 1 | 1.00388 | 118 | 140 | 1 | 0.0969578 |
44 | 40 | 2 | 233.377 | 0 | 1 | 0 | 1 | 1 | 1.42926 | 188 | 140 | 0 | 0.0970642 |
36 | 39 | 2 | 339 | 0 | 1 | 0 | 1 | 1 | 1.35734 | 170 | 120 | 0 | 0.097233 |
257 | 49 | 1 | 341 | 1 | 1 | 1 | 1 | 1 | 1 | 120 | 130 | 1 | 0.0981915 |
102 | 49 | 3 | 201 | 0 | 1 | 0 | 1 | 0 | 1.47926 | 164 | 124 | 0 | 0.0998013 |
274 | 59 | 1 | 263.489 | 0 | 1 | 0 | 1 | 1 | 1.16023 | 125 | 130 | 1 | 0.100086 |
123 | 52 | 3 | 245.244 | 0 | 1 | 0 | 1 | 0 | 1.47111 | 140 | 140 | 0 | 0.100332 |
21 | 37 | 2 | 211 | 0 | 1 | 0 | 1 | 0 | 1.36075 | 142 | 130 | 0 | 0.101185 |
201 | 46 | 1 | 186 | 0 | 1 | 0 | 1 | 1 | 1.1109 | 124 | 118 | 1 | 0.101386 |
261 | 52 | 1 | 298 | 1 | 1 | 1 | 1 | 1 | 1 | 110 | 130 | 1 | 0.101688 |
26 | 37 | 1 | 315 | 0 | 1 | 0 | 1 | 1 | 1.30192 | 158 | 130 | 0 | 0.1017 |
202 | 46 | 1 | 277 | 1 | 1 | 1 | 1 | 1 | 1 | 125 | 120 | 1 | 0.101707 |
190 | 35 | 3 | 257 | 0 | 1 | 0 | 1 | 1 | 1.16276 | 140 | 110 | 1 | 0.102072 |
60 | 43 | 3 | 201 | 0 | 1 | 0 | 1 | 0 | 1.4524 | 165 | 120 | 0 | 0.10245 |
245 | 55 | 1 | 268 | 1 | 1 | 1.5 | 1 | 1 | 1 | 128 | 140 | 1 | 0.102462 |
71 | 45 | 3 | 237 | 0 | 1 | 0 | 1 | 0 | 1.47029 | 170 | 130 | 0 | 0.102634 |
236 | 50 | 1 | 233 | 1 | 1 | 2 | 1 | 1 | 1 | 121 | 130 | 1 | 0.102873 |
113 | 50 | 1 | 129 | 0 | 1 | 0 | 1 | 1 | 1.37627 | 135 | 140 | 0 | 0.103391 |
29 | 38 | 2 | 292 | 0 | 1 | 0 | 1 | 1 | 1.34433 | 130 | 145 | 0 | 0.103463 |
101 | 49 | 3 | 237.575 | 0 | 1 | 0 | 1 | 0 | 1.4501 | 160 | 110 | 0 | 0.103521 |
214 | 52 | 1 | 225 | 1 | 1 | 2 | 1 | 1 | 1 | 120 | 130 | 1 | 0.103535 |
209 | 49 | 2 | 265 | 0 | 1 | 0 | 1 | 1 | 1.21401 | 175 | 115 | 1 | 0.103773 |
193 | 38 | 1 | 196 | 0 | 1 | 0 | 1 | 1 | 1.1192 | 166 | 110 | 1 | 0.103921 |
57 | 42 | 2 | 147 | 0 | 1 | 0 | 1 | 1 | 1.42807 | 146 | 160 | 0 | 0.103971 |
2 | 29 | 3 | 234.165 | 0 | 1 | 0 | 1 | 1 | 1.41433 | 170 | 140 | 0 | 0.103982 |
134 | 53 | 3 | 320 | 0 | 1 | 0 | 1 | 1 | 1.47969 | 162 | 140 | 0 | 0.104802 |
197 | 41 | 1 | 289 | 0 | 1 | 0 | 1 | 1 | 1.1158 | 170 | 110 | 1 | 0.104835 |
38 | 39 | 1 | 273 | 0 | 1 | 0 | 1 | 1 | 1.26364 | 132 | 110 | 0 | 0.104857 |
175 | 58 | 2 | 179 | 0 | 1 | 0 | 1 | 1 | 1.47702 | 160 | 140 | 0 | 0.104863 |
108 | 50 | 3 | 202 | 0 | 1 | 0 | 1 | 0 | 1.44341 | 145 | 110 | 0 | 0.104991 |
122 | 52 | 3 | 210 | 0 | 1 | 0 | 1 | 0 | 1.46488 | 148 | 120 | 0 | 0.105036 |
15 | 35 | 3 | 264 | 0 | 1 | 0 | 1 | 1 | 1.44063 | 168 | 150 | 0 | 0.105069 |
287 | 52 | 1 | 266 | 1 | 1 | 2 | 1 | 1 | 1 | 134 | 140 | 1 | 0.10621 |
178 | 59 | 3 | 287 | 0 | 1 | 0 | 1 | 1 | 1.49556 | 150 | 140 | 0 | 0.106245 |
39 | 39 | 1 | 307 | 0 | 1 | 0 | 1 | 1 | 1.28957 | 140 | 130 | 0 | 0.106678 |
194 | 38 | 1 | 282 | 0 | 1 | 0 | 1 | 1 | 1.11737 | 170 | 120 | 1 | 0.107229 |
110 | 50 | 3 | 168 | 0 | 1 | 0 | 1 | 1 | 1.47467 | 160 | 120 | 0 | 0.107247 |
149 | 54 | 3 | 246 | 0 | 1 | 0 | 1 | 1 | 1.4128 | 110 | 120 | 0 | 0.108111 |
258 | 49 | 1 | 234 | 1 | 1 | 1 | 1 | 1 | 1 | 140 | 140 | 1 | 0.108172 |
1 | 29 | 3 | 243 | 0 | 1 | 0 | 1 | 1 | 1.37679 | 160 | 120 | 0 | 0.108396 |
231 | 46 | 1 | 222 | 0 | 1 | 0 | 1 | 1 | 1.1027 | 112 | 130 | 1 | 0.108427 |
47 | 41 | 3 | 245 | 0 | 1 | 0 | 1 | 0 | 1.42871 | 150 | 130 | 0 | 0.108429 |
18 | 36 | 2 | 209 | 0 | 1 | 0 | 1 | 1 | 1.39501 | 178 | 130 | 0 | 0.108539 |
226 | 39 | 1 | 280 | 0 | 1 | 0 | 1 | 1 | 1.08565 | 150 | 110 | 1 | 0.10873 |
34 | 39 | 3 | 240.837 | 0 | 1 | 0 | 1 | 1 | 1.37937 | 120 | 130 | 0 | 0.110684 |
75 | 45 | 2 | 243.4 | 0 | 1 | 0 | 1 | 1 | 1.34597 | 110 | 135 | 0 | 0.110873 |
105 | 49 | 2 | 187 | 0 | 1 | 0 | 1 | 1 | 1.45483 | 172 | 140 | 0 | 0.11151 |
153 | 54 | 2 | 245.877 | 0 | 1 | 0 | 1 | 1 | 1.4127 | 122 | 150 | 0 | 0.111691 |
126 | 52 | 3 | 284 | 0 | 1 | 0 | 1 | 1 | 1.40657 | 118 | 120 | 0 | 0.111722 |
41 | 40 | 3 | 289 | 0 | 1 | 0 | 1 | 1 | 1.44785 | 172 | 140 | 0 | 0.112222 |
181 | 59 | 1 | 242.428 | 0 | 1 | 0 | 1 | 1 | 1.39307 | 140 | 140 | 0 | 0.112398 |
167 | 56 | 2 | 244.212 | 0 | 1 | 0 | 1 | 1 | 1.38763 | 114 | 130 | 0 | 0.112951 |
111 | 50 | 3 | 216 | 0 | 1 | 0 | 1 | 1 | 1.50003 | 170 | 140 | 0 | 0.112987 |
55 | 42 | 3 | 268 | 0 | 1 | 0 | 1 | 1 | 1.42817 | 136 | 150 | 0 | 0.114312 |
99 | 48 | 3 | 238 | 0 | 1 | 0 | 1 | 1 | 1.42436 | 118 | 140 | 0 | 0.114949 |
51 | 41 | 1 | 250 | 0 | 1 | 0 | 1 | 1 | 1.29086 | 142 | 112 | 0 | 0.115035 |
210 | 49 | 1 | 206 | 0 | 1 | 0 | 1 | 1 | 1.18827 | 170 | 130 | 1 | 0.115295 |
25 | 37 | 1 | 223 | 0 | 1 | 0 | 1 | 1 | 1.32205 | 168 | 120 | 0 | 0.115366 |
173 | 58 | 3 | 230 | 0 | 1 | 0 | 1 | 1 | 1.49214 | 150 | 130 | 0 | 0.11884 |
49 | 41 | 3 | 295 | 0 | 1 | 0 | 1 | 1 | 1.42452 | 170 | 120 | 0 | 0.119412 |
212 | 50 | 1 | 264 | 0 | 1 | 0 | 1 | 1 | 1.17306 | 150 | 145 | 1 | 0.120193 |
159 | 55 | 3 | 196 | 0 | 1 | 0 | 1 | 1 | 1.4995 | 150 | 140 | 0 | 0.120452 |
237 | 52 | 1 | 182 | 0 | 1 | 0 | 1 | 1 | 1.16905 | 150 | 120 | 1 | 0.120626 |
215 | 54 | 1 | 216 | 0 | 1 | 0 | 1 | 1 | 1.16328 | 140 | 125 | 1 | 0.121607 |
66 | 43 | 3 | 207 | 0 | 1 | 0 | 1 | 1 | 1.43818 | 138 | 142 | 0 | 0.121936 |
161 | 55 | 2 | 277 | 0 | 1 | 0 | 1 | 1 | 1.40906 | 160 | 110 | 0 | 0.122253 |
28 | 38 | 3 | 297 | 0 | 1 | 0 | 1 | 1 | 1.41162 | 150 | 140 | 0 | 0.123202 |
7 | 32 | 3 | 254 | 0 | 1 | 0 | 1 | 1 | 1.38592 | 155 | 125 | 0 | 0.124091 |
163 | 55 | 1 | 270 | 0 | 1 | 0 | 1 | 1 | 1.34807 | 140 | 120 | 0 | 0.124804 |
43 | 40 | 2 | 281 | 0 | 1 | 0 | 1 | 1 | 1.38178 | 167 | 130 | 0 | 0.125651 |
147 | 54 | 3 | 208 | 0 | 1 | 0 | 1 | 1 | 1.44806 | 142 | 110 | 0 | 0.126332 |
107 | 49 | 1 | 241.799 | 0 | 1 | 0 | 1 | 1 | 1.34211 | 130 | 140 | 0 | 0.126964 |
138 | 53 | 1 | 243 | 0 | 1 | 0 | 1 | 1 | 1.3878 | 155 | 140 | 0 | 0.127054 |
148 | 54 | 3 | 238 | 0 | 1 | 0 | 1 | 1 | 1.46795 | 154 | 120 | 0 | 0.127242 |
100 | 48 | 2 | 211 | 0 | 1 | 0 | 1 | 1 | 1.36923 | 138 | 110 | 0 | 0.127324 |
137 | 53 | 1 | 182 | 0 | 1 | 0 | 1 | 1 | 1.38062 | 148 | 130 | 0 | 0.128076 |
50 | 41 | 3 | 269 | 0 | 1 | 0 | 1 | 1 | 1.4044 | 144 | 125 | 0 | 0.128387 |
133 | 53 | 3 | 240.445 | 0 | 1 | 0 | 1 | 1 | 1.43681 | 132 | 120 | 0 | 0.12858 |
42 | 40 | 2 | 215 | 0 | 1 | 0 | 1 | 1 | 1.36072 | 138 | 130 | 0 | 0.128797 |
119 | 51 | 3 | 188 | 0 | 1 | 0 | 1 | 1 | 1.46193 | 145 | 125 | 0 | 0.129163 |
54 | 42 | 3 | 198 | 0 | 1 | 0 | 1 | 1 | 1.431 | 155 | 120 | 0 | 0.130047 |
135 | 53 | 2 | 195 | 0 | 1 | 0 | 1 | 1 | 1.40632 | 140 | 120 | 0 | 0.130304 |
77 | 45 | 1 | 224 | 0 | 1 | 0 | 1 | 1 | 1.34735 | 144 | 140 | 0 | 0.130991 |
33 | 39 | 3 | 204 | 0 | 1 | 0 | 1 | 1 | 1.40589 | 145 | 120 | 0 | 0.131109 |
24 | 37 | 2 | 194 | 0 | 1 | 0 | 1 | 1 | 1.36811 | 150 | 130 | 0 | 0.13112 |
40 | 40 | 3 | 275 | 0 | 1 | 0 | 1 | 1 | 1.41238 | 150 | 130 | 0 | 0.131227 |
152 | 54 | 2 | 217 | 0 | 1 | 0 | 1 | 1 | 1.40185 | 137 | 120 | 0 | 0.131401 |
76 | 45 | 1 | 225 | 0 | 1 | 0 | 1 | 1 | 1.31877 | 140 | 120 | 0 | 0.131506 |
120 | 51 | 3 | 224 | 0 | 1 | 0 | 1 | 1 | 1.46616 | 150 | 130 | 0 | 0.131625 |
69 | 44 | 3 | 215 | 0 | 1 | 0 | 1 | 1 | 1.42261 | 135 | 130 | 0 | 0.131691 |
53 | 42 | 3 | 196 | 0 | 1 | 0 | 1 | 1 | 1.42536 | 150 | 120 | 0 | 0.132573 |
98 | 48 | 3 | 245 | 0 | 1 | 0 | 1 | 1 | 1.46212 | 160 | 130 | 0 | 0.133118 |
80 | 46 | 2 | 230 | 0 | 1 | 0 | 1 | 1 | 1.38369 | 150 | 120 | 0 | 0.136404 |
Drop Outliers ...
Do you want to drop outliers? [y/n]y
Outliers are dropped.
[ ]: